Mixed-instance querying: A lightweight integration architecture for data journalism

R. Bonaque; T. D. Cao; B. Cautis; F. Goasdoué; J. Letelier; I. Manolescu; O. Mendoza; S. Ribeiro; X. Tannier; M. Thomazo

doi:10.14778/3007263.3007297

Mixed-instance querying: A lightweight integration architecture for data journalism

R. Bonaque
, T. D. Cao
, B. Cautis
, F. Goasdoué
, J. Letelier
, I. Manolescu
, O. Mendoza
, S. Ribeiro
, X. Tannier
, M. Thomazo

Research output: Contribution to journal › Conference article › peer-review

Abstract

As the world's affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration prototype, which allows to quickly set up integration queries across (very) heterogeneous data sources, capitalizing on the many data links (joins) available in this application domain. Our demonstration is based on scenarios we study in collaboration with Le Monde, France's major newspaper.

Original language	English
Pages (from-to)	1513-1516
Number of pages	4
Journal	Proceedings of the VLDB Endowment
Volume	9
Issue number	13
DOIs	https://doi.org/10.14778/3007263.3007297
Publication status	Published - 1 Jan 2015
Event	42nd International Conference on Very Large Data Bases, VLDB 2016 - New Delhi, India Duration: 5 Sept 2016 → 9 Sept 2016

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title = "Mixed-instance querying: A lightweight integration architecture for data journalism",

abstract = "As the world's affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration prototype, which allows to quickly set up integration queries across (very) heterogeneous data sources, capitalizing on the many data links (joins) available in this application domain. Our demonstration is based on scenarios we study in collaboration with Le Monde, France's major newspaper.",

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doi = "10.14778/3007263.3007297",

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TY - JOUR

T1 - Mixed-instance querying

T2 - 42nd International Conference on Very Large Data Bases, VLDB 2016

AU - Bonaque, R.

AU - Cao, T. D.

AU - Cautis, B.

AU - Goasdoué, F.

AU - Letelier, J.

AU - Manolescu, I.

AU - Mendoza, O.

AU - Ribeiro, S.

AU - Tannier, X.

AU - Thomazo, M.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - As the world's affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration prototype, which allows to quickly set up integration queries across (very) heterogeneous data sources, capitalizing on the many data links (joins) available in this application domain. Our demonstration is based on scenarios we study in collaboration with Le Monde, France's major newspaper.

AB - As the world's affairs get increasingly more digital, timely production and consumption of news require to efficiently and quickly exploit heterogeneous data sources. Discussions with journalists revealed that content management tools currently at their disposal fall very short of expectations. We demonstrate TATOOINE, a lightweight data integration prototype, which allows to quickly set up integration queries across (very) heterogeneous data sources, capitalizing on the many data links (joins) available in this application domain. Our demonstration is based on scenarios we study in collaboration with Le Monde, France's major newspaper.

U2 - 10.14778/3007263.3007297

DO - 10.14778/3007263.3007297

M3 - Conference article

AN - SCOPUS:85020471619

SN - 2150-8097

VL - 9

SP - 1513

EP - 1516

JO - Proceedings of the VLDB Endowment

JF - Proceedings of the VLDB Endowment

IS - 13

Y2 - 5 September 2016 through 9 September 2016

ER -

Mixed-instance querying: A lightweight integration architecture for data journalism

Abstract

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